generative ai

Principia Structurae Realitatis: A Structural Reasoning Framework for Whole-System Coordination in LLMs

Principia Structurae Realitatis is an open research framework built around the structural expression Reality = Consciousness × Matter × Coordination. For AI use, the expression is treated as a generative reasoning seed rather than ordinary arithmetic. The public framework focuses on whole-system coordination, constrain...

QUESTION ASSETS

QUESTION ASSETS What Civilization Has Not Yet Answered, Yet Future Generations Should Continue to Ask A Civilizational Aesthetics of Questions, Possibility, Memory, and Handoff QUESTION ASSETS explores a simple but far-reaching idea: A civilization is not measured only by how many answers it preserves. It may also be m...

Generative AI in Physiotherapy Education: Opportunities, Challenges and Future Directions – A Narrative Review

The Silent Erosion: Vibe Coding and the Decline of Programming Literacy in the Age of Generative AI

The rapid integration of generative artificial intelligence (GenAI) into software development has given rise to a new programming practice commonly described as “Vibe Coding,” in which developers express high-level intentions in natural language and increasingly rely on AI systems to generate, modify, debug, and refine...

Pedagogies of Trust: Or Why We Won’t be Replaced by Generative AI

Our 2025 student orientation marked a thousand days of living with ChatGPT. At orientation sessions, instructors jokingly invoked GenAI to warn of a dire future where the educational systems collap...

AI Writing Assistants in Higher Education: A Comprehensive Review of Impact, Literacy, and Policy

AI writing tools like ChatGPT, QuillBot, and Grammarly have reshaped university writing workflows. Controlled studies show gains in grammatical accuracy, student engagement, and self-efficacy, but none of the intervention studies retained in this review directly measured critical thinking or other higher-order outcomes...

' Workshop on participatory harm auditing of generative-AI for use in cultural heritage ' Workshop Data 2025 August

This workshop explored the ways in which CH professionals might audit the use of generative AI tools when used for the enrichment of descriptive metadata. For this workshop, we focused on the use of two AI tools/models as talking points to contextualise stakeholders’ thinking regarding generative AI and associated harm...

"Everything Everywhere All at Once" AI-Generated Scholarly Objects, Metadata, Rights, and Deposit Decisions

This presentation was prepared for the 2026 Midwest Data Librarian Symposium (MDLS). It examines emerging questions for institutional repositories as generative AI becomes integrated into research workflows and AI-generated or AI-assisted materials increasingly become potential repository deposits. Topics include prove...

Assimilating generative AI into ideation work: seeding, search and human contribution

Purpose This paper examines how generative AI (GenAI) systems can be assimilated into idea generation (ideation) work so that human–GenAI collaboration augments creativity. It asks which seeding configurations with GenAI improve novelty, utility and feasibility, and examines preliminary process evidence regarding human...

Mapping Research on Generative Artificial Intelligence for Programming Education: A Systematic Review

Generative artificial intelligence (AI) has the potential to transform programming education, yet existing research on its integration and impact remains fragmented, underscoring the need for a comprehensive synthesis. This systematic review aims to consolidate empirical evidence on the use of generative A...

Power closure of generalized gamma convolutions: a proposed proof

We present a proposed proof that generalized gamma convolutions are closed under every real power greater than one. The argument varies the exponent in the logarithmic Laplace transform. At a zero of an analytic Thorin density, its exponent derivative is expressed as the expectation of a positive functional of a gamma...

AI-Driven Digital Marketing in Higher Education: A Bibliometric Analysis of College Choice Intention Research, 2022–2026

Abstract : This study maps the intellectual structure of research on AI-driven digital marketing in higher education and its relationship to college choice intention, where the literatures on AI acceptance and student recruitment have developed separately. Methodology A bibliometric analysis of 430 Scopus-indexed artic...