Skip to content

Category

generative ai

2,720 papers

#generative ai Open access Sep 2026

Generative AI as Instructional Scaffolding: Effects on Critical Thinking and Classroom Engagement in Secondary Education

It is demonstrated that generative artificial intelligence effectively supports critical thinking and classroom engagement when used as guided instructional scaffolding rather than as a provider of final answers.

Herman Herman, Muh. Nasir, A. Putra et al. · 0 citations
#generative ai Open access Sep 2026

GENERATIVE AI IN THE SCHOOL ENVIRONMENT: ETHICAL ASPECTS AND PROFESSIONAL DEVELOPMENT

tdia sa zameriava na vnmanie umelej inteligencie v kolskom prostred z pohadu pedagogickch a odbornch zamestnancov. Cieom vskumu bolo analyzova, ako respondenti hodnotia iacke pouvanie AI, ak etick rizik s tm spjaj a ak podporu potrebuj pri jeho didaktickom usmerovan. Vskum mal exploratvno-deskriptvny charakter a bol re...

Mária Bajúzová, Michal MANČÍK · 0 citations
#generative ai Open access Sep 2026

Mediation in AI-Assisted Experiential Language Learning: Extending TPACK Through the TPAEK Framework for Vietnamese as a Foreign Language Education

The study suggests that teachers act as interpretive mediators who evaluate, contextualize, and regulate AI-generated content to preserve cultural validity in experiential language learning.

Hiền Nguyễn Thị Lương, Ngan Thi Truc Nguyen, Long Đức Nguyễn · 0 citations
#generative ai Editorial Sep 2026

Human-AI Collaboration in Radiology: The Blind Spots.

A narrative synthesis of the human-AI interaction and radiology AI literature highlighted three underrecognized determinants of successful human-AI collaboration in radiology, and concrete research directions are proposed to bridge the gap between algorithmic capabilities and clinical utility.

Su Hwan Kim, L. Adams, B. Wiestler et al. · 0 citations
#generative ai Open access Sep 2026

Who Offloads and Who Co-Creates? Comparing Undergraduate and MBA Learners in Agent-Driven Business English Project-Based Learning

The findings suggest that under one and the same rule-governed design, “level is not destiny”: learner level should remain an explicit consideration in the design and scaling of agent-based pedagogy, but the unit of differentiation should descend to learner types, and differentiated design guidelines are derived accord...

Jing Shi, Chu-Qi Wu, Yu-Ting Zhang · 0 citations
#generative ai Open access Sep 2026

How strong is the evidence in generative AI-related academic misconduct allegations? A mixed-methods analysis

An empirically derived taxonomy that categorises the types of evidence used in GenAI misconduct proceedings and offers a structured framework for assessing the quality and reliability of that evidence is designed for direct application in institutional decision-making is offered.

Albert Munoz, Mercedez Hinchcliff, C. Langfield et al. · 0 citations
#generative ai Sep 2026

Adapting Without Surrendering: Assignments That Work in the AI Era

Somewhere between overhead projectors and generative AI, I’ve spent 18 years at Harding helping students learn how to think—now I’m figuring out how to do that with tools that can think with them. As a mid-career professor (experienced enough to know better, curious enough to keep trying), this presentation will discus...

Melanie Meeker · 0 citations
#large language models Review Open access Sep 2026

Exploring the Development of AI-Mediated Competence for Sustainable Translation and Interpreting Education: A Bibliometric Review

The keywords evidence points to a shift from machine translation, post-editing, and translation technology training toward AI literacy, evaluative judgement, output verification, feedback practices, ethical responsibility, professional agency, and human-AI collaboration.

Qing Zheng, Mansour Amini · 0 citations
#large language models Review Open access Sep 2026

Reimagining biomedical science workflows in the age of large language models

Large language models (LLMs) are generative artificial intelligence (AI) models that are rapidly reshaping the practice of biomedical science. Their ability to synthesize literature, generate analytical code, and interface with multimodal data offers a new framework for accelerating discovery. Yet their integration int...

Kaleigh F. Roberts, Srinivas Koutarapu, Justin Melendez et al. · 0 citations
#large language models Open access Sep 2026

Integrating LLM in Business Process Management: A Conceptual Framework for Augmenting the Process Lifecycle

A lifecycle-based conceptual framework for allocating and governing LLM use across the six stages of the BPM lifecycle, which positions LLMs as tools for turning unstructured information into preliminary process knowledge, while established BPM methods and human expertise remain responsible for validating consequential...

Florin Dumitriu, Valerică Greavu-Șerban, Sabina-Cristiana Necula et al. · 0 citations
#large language models Open access Dec 2026

Integrating large language models for automated structural analysis

Automated analysis for engineering structures offers considerable potential for boosting efficiency by minimizing repetitive tasks. Although AI-driven methods are increasingly common, no systematic framework yet leverages Large Language Models (LLMs) for automatic structural analysis. This paper proposes a framework th...

Haoran Liang, Mohammad Talebi-Kalaleh, Qi-Pei Mei · 3 citations

From tech blogs

See all →
MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.