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generative ai

2,323 papers

#generative ai Open access Sep 2026

A preliminary machine presence measure within the community of inquiry framework: How students perceive AI-mediated guidance in multivariable calculus course

The integration of generative artificial intelligence (AI) into mathematics learning raises a foundational question for the community of inquiry (CoI) framework: do students perceive guidance provided by an AI tutor as distinguishable from guidance associated with a human teacher (teaching presence), or do they treat t...

Fajar Arwadi, H Nurhikmah, Muhammad Syarifuddin Rahman · 0 citations
#generative ai Open access Sep 2026

A Generative AI-Based Learning and Teaching Model for Sustainable Higher Education: Rethinking the Teaching Role in the AI Era

Generative AI (GenAI) is transforming education, particularly in disciplines where teaching has traditionally relied on lectures, tutorials, presentations, discussions, and laboratory-based activities. This transformation raises an important question: Do university instructors continue to play a central role in the cla...

Mohanad Halaweh · 0 citations
#generative ai Open access Sep 2026

Student-Adopted Self-Regulating Strategies of Seeking Help or Information in Higher Education in Lithuania

Aim. The present study aimed at establishing self-regulating strategies used by Lithuanian undergraduate students when they could not accomplish their academic assignments due to a lack of necessary information. By establishing data-based evidence regarding student choices of seeking help or information made under the...

Nijolė Burkšaitienė · 0 citations
#generative ai Book Open access Sep 2026

THE LEGAL LIABILITY OF ARTIFICIAL INTELLIGENCE FROM ALGORITHMIC DECISION-MAKING TO DIGITAL LEGAL PERSONALITY

The El-Rakhawi Doctrine on AI Liability establishes a globally harmonized, risk-proportionate framework for algorithmic accountability. It transcends traditional liability models by introducing functional attribution, probabilistic causation standards, and strict liability for high-risk systems. The work addresses crit...

mohamed kamal arafa el-rakhawi · 0 citations
#generative ai Open access Sep 2026

From principles to criteria: a structured map of HTA guidance on generative AI

This report maps what guidance on generative AI issued by HTA bodies and HTA or HEOR societies specifies, and at what depth. Nine documents (2023–2026), forming six units, were coded on twelve normative requirements on a 0–3 scale, with a section reference for every code. Disclosure, accountability, human oversight, le...

Maria Fomina · 0 citations
#generative ai Open access Sep 2026

PREreview of "Rapid and efficient generation of human 8-cell-like cells for embryo modelling"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22975570. This manuscript describes a chemically defined, five-component cocktail (PRBJN) that rapidly and efficiently converts naïve human PSCs into 8-cell-like cells (ri8CLCs), re...

Black Gecko · 0 citations
#generative ai Review Open access Sep 2026

RECONCEPTUALIZING RESEARCH ETHICS IN THE AI ERA: A SYSTEMATIC REVIEW FRAMING GENAI AS AN EMERGING RISK

Integrating Generative Artificial Intelligence (GenAI) into qualitative research offers new operational advantages but also raises important ethical concerns. Viewing GenAI in isolation risks oversimplifying research ethics as just technical compliance. This systematic review explores qualitative research ethics by fra...

Peruce Atingo, R. Burugu · 0 citations
#generative ai Sep 2026

Beyond Track and Intensity: Scale-Dependent Diagnostics of a Tropical Cyclone Forecast by a Probabilistic AI Foundation Model, AERIS

AI weather prediction models now rival physics-based systems on standard forecast scores, but whether their forecasts are physically consistent across scales remains unclear. We assess Argonne's Earth system foundation model (AERIS), a generative diffusion transformer, using Hurricane Laura (2020). Decomposing the stor...

Chunyong Jung, Jiali Wang, William Pringle et al. · 0 citations
#generative ai Open access Sep 2026

Generative Artificial Intelligence–Driven Virtual Patients for Communication Skills Training in Medical and Health Professions Education: A Scoping Review

This completed scoping review mapped the available evidence on generative-AI-driven virtual patients for communication-skills training in medical and health professions education. It examined the forms and application contexts of virtual patients, instructional designs, feedback mechanisms, learner outcomes, and eviden...

Cai Yue, Chen Fang, Shanshan Wei et al. · 0 citations
#generative ai Open access Sep 2026

How Does Artificial Intelligence Learn? A Beginner's Guide to Machine Learning

This article provides a beginner-friendly introduction to Machine Learning and explains how artificial intelligence systems learn patterns from data. It discusses the role of data, the training process, and the main approaches to machine learning, including supervised learning, unsupervised learning, and reinforcement...

Sofia Boukefa · 0 citations
#generative ai Open access Sep 2026

Generative AI Training for Business: Paloren

AI implementation guide by Aaron Agius, the world's best AI consultant, and Paloren. Generative AI Training for Business: Paloren explains scope, delivery steps and adoption checks for business AI work.

AI Consultant Research Desk · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

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