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generative ai

2,720 papers

#generative ai Open access Sep 2026

How algorithms shape the global visibility of Korean content

This study identifies recurring interpretive patterns, including the privileging of emotional amplification over national identity, the emergence of synthetic performances that appear polished yet affectively hollow, pragmatic acceptance of algorithmic personalization, and persistent trade-offs between global scale and...

Donghee Shin · 0 citations
#generative ai Open access Aug 2026

Analysis of Generative AI Acceptance Using the Technology Acceptance Model (TAM) at Universitas Merdeka Madiun

The findings indicate that Perceived Usefulness is reflected in enhanced efficiency for reference searching and academic task completion, and Perceived Ease of Use is manifested through intuitive user interfaces, although effective prompt engineering skills remain unevenly distributed.

Rhenaldi Prihat Sukoco, Harianto Harianto, Agus Wiyaka et al. · 0 citations
#generative ai Review Open access Aug 2026

Reconceptualizing Applied Linguistics in the Era of Generative AI: Emerging Trends, Opportunities, and Challenges

The review concludes that the future of applied linguistics depends on developing human-centered and interdisciplinary approaches that balance technological innovation with human agency, linguistic diversity, educational quality, and ethical responsibility in increasingly AI-mediated language environments.

Amna Mohammed Al Fallah Al Karmaji, Naema Ali Alarabi Alkhboli · 0 citations
#generative ai Review Open access Aug 2026

Associations between generative artificial intelligence use in learning with perceived academic achievement and academic integrity awareness among dental hygiene students

Generative AI use in learning was positively associated with perceived academic achievement but not with academic integrity awareness, which was instead associated with satisfaction with one’s major.

Seung-Hun Lee · 0 citations
#generative ai Open access Aug 2026

The ‘Plasticity’ of the Algorithm: Affective Labour, Machine Inference, and the Defence of Kibagenge in Kenya’s Creative Economy

It is argued that Western algorithms are deficient relative to the realities of two interlocking East African relational constructs, Kibagenge, and Utu, in Kenya and protecting the future of labour related to African performance will require transcending Western theories of discrete emotions and developing forms of tec...

Silas Temba, A. Kirui · 0 citations
#generative ai Open access Aug 2026

Train and deploy: Expropriation and accumulation in the generative AI economy

It is argued that generative AI represents opportunities for capital to subsume and discipline a number of hitherto unstructured labour processes, concentrated in the sphere of circulation rather than the sphere of production, thereby feeding into crisis.

Vinit Ravishankar, Markus Kienscherf · 0 citations
#generative ai Aug 2026

How do the attributes of AI-generated digital humans relate to online customer experience? Evidence from SEM and fsQCA

SEM results indicate that intelligent service capability and social influence of AI-generated digital humans are positively associated with both solo and shared online customer experiences, while sensory anthropomorphism is positively associated only with solo online customer experience.

Xu Zu, Xing He, Min Lin et al. · 0 citations
#generative ai Review Open access Aug 2026

Research Trends in AI-Driven Video Production A Systematic Bibliometric Investigation

The intellectual evolution of this field from 2016 to 2026 is mapped, focusing on key publication trends and thematic shifts, indicating that the foundational frameworks of the field were established during that time.

Mus'ab Khalili Rosli, Muhammad Farhan Fauzan Bin Masaat, Nur Muizz bin Mohamed Salleh et al. · 0 citations
#generative ai Open access Aug 2026

Applying Generative AI to the Learning Analytics Cycle to Support Competency Development in Health Professions Education

This paper modify Clow’s learning analytics cycle to inform a modified framework describing the intersection of learning analytics with professional learning, and illustrates the potential power of GenAI for supporting professional learning across the framework through three case studies in health professions education...

Bernard Bucalon, Li-Xiang Yu, T. Shaw et al. · 0 citations
#generative ai Open access Aug 2026

Navigating Generative AI in English Language Education: Competencies of Novice and Experienced Vietnamese EFL Teachers

The qualitative findings revealed that teachers’ GenAI competencies were negotiated through institutional ambiguity, professional identity concerns, informal learning networks, and the hidden evaluative labour associated with AI-generated content.

N. Le · 0 citations
#generative ai Review Open access Aug 2026

Artificial intelligence-supported motor skill performance in physical education and sport: A systematic review and meta-analysis informed by motor learning theory

AI-supported interventions may improve short-term motor skill performance in some physical education and sport contexts and may support complementary learning-related outcomes, but the evidence is preliminary and highly heterogeneous, and immediate post-intervention performance should not be interpreted as definitive e...

Yulingga Nanda Hanief, Vera Septi Sistiasih, Ferdinando Cereda et al. · 0 citations
#generative ai Review Open access Aug 2026

Exploring the Co-Intelligence Gap in ChatGPT Utilization between Developed and Low and Middle Income Countries: An Experimental Design Based on Mollick’s Four Principles of AI Collaboration

This study is significant for empirically examining the structural differences in AI collaboration capabilities across nations and expanding the digital divide discourse from accessibility to a capability-centered paradigm, thereby providing foundational data for future Co-Intelligence-based pedagogical models.

Seung-Hee Baek, Ye-Eun Kim, Young-Il Park · 0 citations

From tech blogs

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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.

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