This chapter develops an integrated design architecture for generative relational research. Building on the preceding chapters on research praxis, relational inquiry, and generative methodology, it shifts the unit of analysis from individual methods to the organization of an entire research project. The chapter connect...
Personalized pronunciation-exercise design requires flexible content, professional oversight, and mechanisms that can adapt recommendations without transferring therapeutic authority to artificial intelligence. This study presents Speak4All, a cloud-deployed human-in-the-loop generative AI framework designed to support...
The findings extend the minor flaw effect to AI advertising disclosure and identify authenticity and novelty as parallel, complementary routes for restoring consumer response.
Mincheol Kim· Frontiers in Psychology· 0 citations
The AI Study Tech and Flashcard Generator is an intelligent learning platform designed to help students study academic topics more effectively using Artificial Intelligence. Students often spend significant time preparing study notes, identifying important concepts, and creating flashcards manually. The proposed system...
S Alekya, M Pranitha, M Sruthi et al.· International Journal of Eng...· 0 citations
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Artificial intelligence (AI) is rapidly reshaping education, yet most AI in education systems are grounded in Western, monolingual, and individualistic models of learning. These systems can perpetuate inequities by overlooking the multilingual, multimodal, and culturally situated ways in which students engage in learni...
Hakeoung Hannah Lee· Teachers College Record· 0 citations
Objective: Architecture may fail to benefit from generative artificial intelligence unless AI operates on top of an evidence-tested design theory. Visual novelty is not architectural innovation. Methods: This paper uses Boyd’s OODA learning loop and synthesizes Alexander’s theory of living structure from The Nature of...
N. Salingaros· ABC2: Journal of Architectur...· 0 citations
The emergence and development of generative AI tools have benefited higher education but have also created several ethical tensions in the educational system. This tension is higher in online teaching environments, where students often rely on AI tools. Previous studies have addressed ethical issues, yet how these issu...
Bao-Yi Wang, Farman Ullah Khan· Frontiers in Psychology· 0 citations
The Chat with Your PDF — Multi-Document Q&A with Source Citations system is an intelligent document-question-answering platform that allows users to interact with multiple PDF documents using natural language. Users often need to read large documents such as research papers, textbooks, reports, manuals, policies, and b...
A. Akhila, K. Ramya, K. Neha et al.· International Journal of Eng...· 0 citations
Reflection is critical for learning. In healthcare, simulations help learners practice clinical and teamwork skills, while reflection supports improving practice. Learning analytics (LA) dashboards can support reflection by visualizing activity data, but their effectiveness is limited by learners’ ability to interpret...
Mikaela Elizabeth Milesi, Viktoria Pammer‐Schindler, Linxuan Zhao et al.· International Journal of Hum...· 0 citations
Purpose This study aims to examines whether generative artificial intelligence (AI) and virtual reality (VR) function as equalizers or reproduce existing interpretive asymmetries in digital heritage interpretation among visitors with varying levels of cultural proximity. Design/methodology/approach A quasi-experimental...
Y. Xiong, Aoran Zheng· Journal of Hospitality and T...· 0 citations
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.
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026