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.· Journal La Edusci· 0 citations
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· Journal of Technology and In...· 0 citations
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· Journal of Language Teaching...· 0 citations
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.· Radiology: Artificial Intell...· 0 citations
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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...
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.· International Journal for Ed...· 0 citations
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· Scholar Works at Harding (Ha...· 0 citations
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· Journal of Language Teaching...· 0 citations
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.· npj Dementia· 0 citations
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...
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· Automation in Construction· 3 citations
Results indicate that near-optimal performance can be achieved even when rationales are provided for only a subset of the training data, and that shorter explanations are often sufficient.
Lukas Vöge, Vincent Gurgul, Stefan Lessmann· Management & Marketing· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.