This article examines the modern possibilities of using artificial intelligence and digital technologies in education. It focuses on the potential of AI-supported tools for personalized learning, lesson planning, creation of educational materials, formative assessment, feedback, collaboration, and teachers' professiona...
Gulnaz Joldasbaevna Bazarbaeva· Zenodo (CERN European Organi...· 0 citations
Advancements in digital technology offer Vocational High School (SMK) students opportunities to access learning resources flexibly and cultivate learning autonomy. However, the use of digital technology does not automatically guarantee the development of learning autonomy, as it is influenced by various factors such as...
This article explores the transformative potential of Artificial Intelligence (AI) in fostering inclusive educational environments. It analyzes the psychological and pedagogical challenges faced by students with diverse learning needs and examines how AI-powered tools, such as adaptive learning platforms, text-to-speec...
Zamira Tenelova· Zenodo (CERN European Organi...· 0 citations
This article explores how artificial intelligence can contribute to psychological and pedagogical support for children with special educational needs. Within the digital transformation of education, AI technologies are considered tools for adapting teaching and learning to individual characteristics and creating access...
Ibragim K., Satylkhanova G.· Zenodo (CERN European Organi...· 0 citations
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The article discusses the theoretical and practical aspects of educational leadership in the context of digital transformation. At the present stage, the widespread use of digital technologies, artificial intelligence, educational platforms and data-based management tools requires a change in the way educational organi...
A. Belgibayeva A., Kerimbekova A.· Zenodo (CERN European Organi...· 0 citations
This article explores the opportunities for using artificial intelligence and digital technologies in human resource management in educational institutions. Particular attention is given to staff recruitment, performance evaluation, and professional development. The importance of digital technologies in simplifying hum...
Muhammad Raximberdiyevich Xalimov, Dilorom Abduxamidovna Qo'ldosheva, Gulhayo Hasan qizi Xodiyeva· Zenodo (CERN European Organi...· 0 citations
Proceedings of the international scientific and practical conference "Quality education: artificial intelligence and modern teaching methods", Nukus, 16 October 2026. Languages: Karakalpak, Uzbek, Russian, English.
Qaraqalpaqstan Respublikası Pedagogikalıq sheberlik orayı· Zenodo (CERN European Organi...· 0 citations
Abstract Wearable sensing and artificial intelligence (AI) are increasingly being used to quantify athlete movement, physiological response, training load, and recovery in field and laboratory settings. However, the practical value of these systems depends not only on the predictive capability of an algorithm but also...
Artificial intelligence (AI) is transforming human resource management (HRM), yet the cognitive and psychological factors associated with human resource (HR) professionals’ intentions to use AI remain incompletely understood. Drawing on the Technology Acceptance Model (TAM) and appraisal perspectives, this study ex...
René Arseneault, Houssem Eddine Ben Messaoud· Journal of Enterprise Inform...· 0 citations
This study examines collaborative learning design with a generative artificial intelligence (GenAI) co-pilot among in-service university English teachers in China. In a between-subjects experiment ( N = 60), epistemic network analysis (ENA) was used to model the situated discourse structures of team dialogues, compleme...
Yanyi Wu· Teaching and Teacher Educati...· 0 citations
This article discusses the benefits and challenges of using artificial intelligence in academic writing. It explains how AI can help teachers and students improve texts, correct grammar, and organize ideas while stressing the need to verify information and use AI responsibly.
Raykhan Bakhadir kizi Oteshova· Zenodo (CERN European Organi...· 0 citations
Phenotyping is fundamental to rare disease diagnosis, but manually curating structured phenotypes from clinical notes is labor intensive and difficult to scale. Existing artificial intelligence (AI) approaches optimize individual components of phenotyping but generally do not operationalize the full workflow of extract...
Cathy Shyr, Yan Hu, Rory J Tinker et al.· npj Digital Medicine· 0 citations
