generative ai

NAVIGATING AI-MEDIATED WRITING ENVIRONMENTS: DIGITAL LITERACY, GENERATIVE TOOLS, AND AUTHORIAL DEVELOPMENT AMONG ESL POSTGRADUATE STUDENTS

Developing an AI-Assisted Case-Based Learning Model to Improve Students' Political Literacy

Political literacy among university students has become a pressing concern in the age of digital democracy, yet the way it is currently taught often falls short. This study set out to develop and test an AI-Assisted Case-Based Learning (AI-CBL) model for the Introduction to Political Science course at STKIP Taman Siswa...

Algorithmic Intentionality: A Distributed Cognition Framework

Algorithmic intentionality – the concept that contemporary algorithmic systems function as infrastructures of distributed participation towards the coordination of collective cognition – is introduced as foundational to how humans think and act together.

Vibe coding and the illusion of competence: why laboratory medicine specialists shouldn’t trust their AI-generated code for clinical deployment

An effective approach is that laboratory specialists use generative AI to prototype clinical concepts in a sandbox environment, followed by collaboration with qualified software developers and regulatory experts who translate them into production-grade systems.

Integrating Corpus-Based Translation, Data-Driven Learning, and Generative AI for Professional Email Writing in ESP

A didactic sequence designed to help (future) librarians develop professional email writing skills, with a focus on genre awareness and task-specific vocabulary, supported the development of genre-aware professional email writing while fostering transferable corpus-informed and AI-mediated writing strategies to new pro...

A Bayesian Pixel Based Approach for Model Independent TMD Reconstruction

We introduce a nonparametric pixel-based framework for the Bayesian inference and imaging of transverse momentum dependent (TMD) parton distributions. The methodology integrates TMD evolution within the Collins-Soper-Sterman formalism in a differentiable framework, and leverages generative AI through a hybrid normalizi...

NEXUS: Speeding Up the Next Wave of AI Workloads, GNN and SSM Optimization on NPUs

NEXUS is presented, a unified framework that establishes a systematic methodology for accelerating emerging AI workloads on commercial-off-the-shelf (COTS) Neural Processing Units (NPUs) and introduces a general systematic three-step approach.

Generative AI, algorithmic subjectivation and the conditions of thought

This work examines generative AI through its reorganization of the technical conditions of thought, and develops technical care from Stiegler’s pharmacology of technics as a structural practice that sustains individuation, responsibility, and subject formation within technical mediation.

Navigating Ethical Boundaries In The Use Of Generative AI In Legal Practice: Mavundla V MEC for Cooperative Governance and Traditional Affairs and Others

It is highlighted that while AI can enhance efficiency and access to justice, it cannot substitute the critical reasoning, legal judgment, and ethical obligations that underpin the legal profession, and Courts and regulatory bodies must actively engage with AI’s implications to ensure its responsible and ethical use in...

Global Open‑Source Guide to the Tri‑Steady‑State Theory (TSST)《三元稳态论(TSST)全球开源导读》

《三元稳态论(TSST)全球开源导读》中英混合开源文档,开源许可:CC BY‑NC‑SA 4.0,全套成果归档于 Zenodo 平台。 三元稳态论 (TSST) 是一套研究开放耗散复杂系统长期存续的跨学科元约束框架。提出三条互相独立的元公理:闭环完整性 FII、尺度同步 SSI、物理底线 BCI;构建生存不变量ℐ、协同‑冲突相变判据 Ψ 等可工程计算数理判据。 理论可在极限条件...

Bencmarking Generative AI for Debugging Support in Program Education

Abstract—Programming activities, such as automatic debugging and program repair, are increasingly being supported by Generative Artificial Intelligence (GenAI). However, a rigorous empirical evaluation of the efficacy of various large language models (LLMs) across several debugging phases is necessary. Using a benchmar...

Firm Size, Skills, and the Conversion of Generative AI into Productivity: Evidence for Spanish Manufacturing — pre-specified design lodged before data access

This deposit lodges the empirical design of a study of generative-AI adoption and total factor productivity in Spanish manufacturing, before the author has accessed the microdata the study requires. The paper distinguishes the task-level potential of generative AI from its firm-level realisation — the conversion proble...