This study investigated the influence of Artificial Intelligence- Powered Peer Collaboration Platforms on students’ academic performance in Mathematics in Public Universities in Rivers State. Guided by four research questions and four null hypotheses, the study adopted a descriptive research survey design. The populati...
Bobo Brown Tamunoibim· Zenodo (CERN European Organi...· 0 citations
The rapid development of Artificial Intelligence (AI) has had a significant impact on education, creating new opportunities as well as challenges. The integration of AI into STEM activities in early childhood education constitutes an emerging field with particular pedagogical importance. The purpose of this study was t...
Minoglou Maria· International Journal of Edu...· 0 citations
The diffusion of digital technologies has shifted brand marketing from mass communication toward individualized consumer dialogue, and personalization has become a central capability for competitive differentiation. This paper examines how global brands design and implement personalization strategies in digital marketi...
Yi-Zhi Yu· Advances in Economics, Manag...· 0 citations
This article examines the role of artificial intelligence (AI) in learning management systems (LMS) in higher education. It analyses how AI can support personalized learning, automated assessment, intelligent tutoring, learning analytics, and teachers’ instructional work. A conceptual approach is used to synthesize rel...
Xujanov Elbek· Zenodo (CERN European Organi...· 0 citations
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Large language models (LLMs) are increasingly used across scholarly writing, peer review, and editorial workflows, creating new research integrity questions about attribution, accountability, and disclosure. We measured how explicit artificial intelligence (AI) transparency statements are appearing in published medical...
Philip C. Jarrett, Samia Farooqi, Gabriella Quinn et al.· Research Integrity and Peer...· 0 citations
Water scarcity, pollution and, climate-driven environmental changes necessitate innovative approaches for sustainable water resource management. This review critically examines the emerging integration of nanobiotechnology and artificial intelligence (AI) for water quality monitoring, treatment optimization, desalinati...
Gurdarshan Singh, Anshu Aabha, Neha Dogra et al.· Next Bioengineering· 0 citations
With the rapid development of artificial intelligence, large-scale technology firms generally face the challenge of balancing the stability of mature businesses with new growth opportunities. Taking Microsoft as an example, this paper discusses the relationship between business portfolio diversification and AI-driven g...
Evidence-based strategies transform AI adoption from aspiration into measurable outcomes Stabilarity Research Hub April 2026 DOI: 10.5281/zenodo.19117123 Abstract The capability-adoption gap in artificial intelligence is well-documented but poorly addressed. While organizations invest heavily in AI development and depl...
Oleh Ivchenko· Zenodo (CERN European Organi...· 0 citations
This study aimed to synthesize, develop, and evaluate the Micro Game-Based Learning Model on Intelligent Metaverse Learning Environment. The study integrated Microlearning, Game-Based Learning, Artificial Intelligence, and Metaverse technologies to create a learning environment that provides short learning units, inter...
Deep- to ultradeep-strata carbonate reservoirs are a crucial strategic area for increasing oil and gas reserves and production in my country. These reservoirs are characterized by their great depth, strong heterogeneity, and complex pore structure. The high-temperature and high-pressure environment makes the seismic re...
Siyuan Ying· Applied and Computational En...· 0 citations
Digital technologies have become an important part of contemporary English language teaching (ELT), providing opportunities to expand access to authentic language, support multimodal learning, facilitate interaction, and deliver timely feedback. Learning management systems, mobile applications, online collaboration too...
Fazilat Masharipova· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is increasingly being explored in tissue engineering as a data-driven tool for linking biomaterial composition, scaffold architecture, fabrication parameters, and biological responses. Machine learning (ML) and deep learning (DL) approaches have been applied to predict scaffold properties s...
Salar Mohammadi Shabestari, Maryam Abdollahi Asl, Soheila Zamanlui Benisi et al.· Next Nanotechnology· 0 citations
