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generative ai

2,365 papers

#generative ai Review Open access Sep 2026

Generative AI and the Reconfiguration of Creative Works in Short-Form Video Production: A Scoping Review

Generative AI is changing how short videos are created and is affecting the production, editing and collaboration of content. Existing research is scattered across various fields, such as technology application, creator practice and governance issues, and thus has not achieved all-round coverage of how generative artif...

Fang Yu · 0 citations
#generative ai Open access Sep 2026

Educational Research-Driven Software Development: An Emergent Practical Framework

Generative AI-assisted coding may have introduced a meaningful opportunity for educational researchers with no programming experience to extend their work beyond typical scholarly outputs by creating functional software. Translating research into applications has historically required significant coding expertise, but...

Michael Littrell · 0 citations
#generative ai Open access Sep 2026

The Paradox of AI-Assisted Learning: Analyzing Self-Regulated Learning Readiness Toward the Authenticity of Coding and AI Learning Outcomes

The results point to the need for KKA curriculum designers to incorporate dual-assessment models that differentiate between independent mastery of concepts and performance with AI assistance, to allow AI tools to augment rather than substitute for foundational knowledge.

Fatmalia Nur Prihastuti, Mukhammad Luqman Hakim, Edward Harefa · 0 citations
#generative ai Sep 2026

The Third-Person Effect During the Reception of AI-Driven Misinformation and Its Influence on Policy Support

Rapid generative AI development is transforming information production, and repeated exposure to AI-generated falsehoods may fuel public calls for restriction. Based on Davison's "third-person effect" theory, data from 146 valid questionnaires collected online were subjected to paired-sample t-test, regression analysis...

Ziqiang Zhang · 0 citations
#generative ai Book Sep 2026

Heidegger and Phenomenological Approaches to Work

Abstract Skilled human work reveals a fertile domain of pre-reflective, skillful action that eludes traditional rationalistic models of human agency. Martin Heidegger describes this domain as people’s everyday “dealings” with “ready-to-hand” equipment. This chapter argues that the phenomenological tradition, rooted in...

B. Scot Rousse · 0 citations
#generative ai Open access Sep 2026

Practical Teaching Reform of the “Deep Learning and Applications” Course Through the Collaboration of Knowledge Graphs and AI Agents

Addressing issues such as high programming barriers, fragmented resources, delayed feedback, and limited pathways for innovation in the practical instruction of the “Deep Learning and Applications” course, this paper proposes a reform plan for practical teaching centered on a knowledge graph and featuring generative AI...

Tong Su, Siyuan Bei · 0 citations
#generative ai Open access Sep 2026

Beyond the final product: AI-Enabled Learner Traces as Assessment Evidence in Project Management Education

Artificial intelligence (AI) is increasingly used in project management education (PME), especially in digital learning environments where learner activity can be captured as process data. This matters because project management learning involves collaboration, coordination, decision-making, reflection, and professiona...

Jing Jiang, Amir Rahbarimanesh, Rashid Maqbool · 0 citations
#large language models Open access Sep 2026

Effects of proactivity, autonomy, and transparency on user perception in human-AI agent interactions

As large language model-driven AI agents evolve from generative tools into collaborative entities with autonomous capabilities, the human-AI interaction paradigm is shifting from command execution to task delegation. However, empirical evidence on how the behavioral characteristics of AI agents reshape user perception...

Na Liu, Yuxin Zuo · 0 citations
#artificial intelligence Open access Sep 2026

Unleashing innovation: how fit between organizational generative AI adoption and employee AI literacy drives creative performance

As organizations increasingly pursue top-down adoption of generative artificial intelligence (GenAI) to drive innovation and efficiency, a key challenge is whether rising GenAI-related job demands are aligned with employees' AI abilities, such as AI literacy, in ways that support their creative performance. Prior r...

Yu-Ye Wang, Yu-Chen Jiao, Yi Liu · 0 citations
#generative ai Open access Sep 2026

Explainable optimized deep learning and generative AI based framework for finger millet disease detection in smart agriculture

The integration of DL, XAI, and generative AI provides a scalable approach for detecting and managing finger millet diseases and boosts precision agriculture by providing AI-based and XAI-supported decision-making, while fostering sustainable agricultural practices.

Sunil Kumar Mohapatra, A. S. K. Patro, Lulen Kumar Sahu et al. · 0 citations
#generative ai Open access Sep 2026

From Technological Empowerment to Wisdom Cultivation: Essence, Generative Mechanisms, and Cultivation Pathways of Teacher AI Literacy in the Intelligence Age

As generative AI reshapes educational practice, the meaning of teacher artificial intelligence (AI) literacy has become central to teacher professionalism and student development. This conceptual article argues that teacher AI literacy should be understood as human–AI synergistic educational wisdom: a phronesis-based,...

Li-Sha Liu, Meng-Yuan Liu, Sai-Di Yu · 0 citations
#generative ai Open access Sep 2026

Where is the love? The anthropomorphism paradox in human-AI intimacy

The advanced language capabilities of large language models (LLMs) have intensified humans’ tendency to anthropomorphize technology. This research takes an interactional, processual approach to examine human-AI intimacy. We introduce the “anthropomorphism paradox,” arguing that while anthropomorphic design effectively...

Huiyi Wang, Jia Xin Liao, Muzhi Zhou · 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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