generative ai

TEAM (Teacher Empowered Assessment Movement): A Teacher-Led Ecosystem Framework of Generative AI Agents for Adaptive Learning — An English-language technical report of Research Project No. 2025-1-09

This is an English-language technical report of a study reported in full, in Korean, as Research Project No. 2025-1-09 under Korea's Educational Development Special Zone — Digital Education Innovation Project. It introduces no data, analysis, or claim absent from the Korean report. The study compared the centralized pl...

From technophobia to technophilia: A self-determination theory auto-ethnography of a Chinese EFL teacher's resilience development when navigating generative AI ethical challenges

Preregistered scenario set on agentic AI in financial services, September 2026 vantage

Preregistered scenario set, dated indicators, and intervention designs from the prospective study of a paper on Proactive Futurism, a generative-AI method for prospective theorizing. Two runs of the Holistic Foresight Engine on agentic AI in financial services, vantage September 2026, with SHA-256 hashes of every artif...

The Applicability of Reproduction Right During AI Model Weight Training: Comparative Research Based on Two Typical Judgments

A two-tier "market impact balancing test" for courts to judge reproduction disputes arising from AI weight training is put forward, showing that Chinese judges adopt an output-centred judging logic, treating temporary storage of copyrighted content during training as an inevitable auxiliary technical step without indep...

Teacher Strategies for Reducing AI Generated Content in English Major Student Writing

Generative AI can produce fluent prose before students have worked through the linguistic choices that writing courses are intended to teach. This study examined how one university instructor responded to that problem in a second-year English-major writing course. Forty-two students (18 men and 24 women; mean age = 20....

Digital Technology Empowering News Production and Dissemination: Innovative Pathways

The current situation of digital technology application in newsrooms is explored, the main problems that have arisen from the changes are identified, and new ideas for utilising digital technologies in news production and dissemination are put forward.

Beyond Execution

Generative artificial intelligence is commonly framed as a challenge to employment, authorship, academic integrity, professional competence and human intellectual distinctiveness. This paper argues that these apparently separate disputes share a deeper institutional problem. For much of modern educational and professio...

Preregistered scenario set on agentic AI in financial services, September 2026 vantage

Preregistered scenario set, dated indicators, and intervention designs from the prospective study of a paper on Proactive Futurism, a generative-AI method for prospective theorizing. Two runs of the Holistic Foresight Engine on agentic AI in financial services, vantage September 2026, with SHA-256 hashes of every artif...

Beyond Execution

Generative artificial intelligence is commonly framed as a challenge to employment, authorship, academic integrity, professional competence and human intellectual distinctiveness. This paper argues that these apparently separate disputes share a deeper institutional problem. For much of modern educational and professio...

Co-Intelligence Version 0.0 / 協働知性 Version 0.0

Short Abstract Co-Intelligence Version 0.0 proposes an initial conceptual framework for comparing human and AI thought at the levels of cognitive structure and experiential grounding. It argues that both systems exhibit a shared generative pattern—input, internal representation, prediction, and output—while differing i...

Co-Intelligence Version 0.0 / 協働知性 Version 0.0

Short Abstract Co-Intelligence Version 0.0 proposes an initial conceptual framework for comparing human and AI thought at the levels of cognitive structure and experiential grounding. It argues that both systems exhibit a shared generative pattern—input, internal representation, prediction, and output—while differing i...

AI at the Bedside: An Argument for a Training Wheels Approach.

Bedside use of artificial intelligence (AI) platforms is increasingly common. Busy clinicians may welcome these generative AI (Gen AI) tools, which have the potential to streamline many time-consuming tasks and aid in patient care. Trainees may find them useful to quickly evaluate complex medical information. Acceptanc...