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    Sustainability of Health Sciences Education: Teacher Training and Financial Management of Pedagogical Resources
    Introduction: The sustainability of health sciences education represents a fundamental challenge in the training of highly trained professionals prepared to respond to the demands of the health system. In a context characterized by the increasing complexity of teaching and the need for pedagogical innovation, teacher training and efficient management of educational resources emerge as key elements to guarantee the quality and continuity of training processes in universities.Objective: To determine the relationship between teacher training and financial management of pedagogical resources in Peruvian universities providing health sciences education.Methods: Quantitative, basic or pure, non-experimental, cross-sectional and correlational research.Results: A correlation coefficient r=0.971 for the study variables, and a value of p=0.000.Conclusions: The research confirms that teacher training is a key factor in the efficient management of pedagogical resources, contributing to the sustainability of health sciences education. Universities that prioritize teacher training will be better prepared to manage their resources efficiently, thus ensuring quality teaching aligned with the demands of the current academic and professional context.
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    Item type:Publicación,
    The Role of Artificial Intelligence in the Adaptation of Students to Virtual Educational Environments
    (AG Editor (Argentina), 2024-12-30) ;
    Loayza-Apaza, Yesenia Tania
    ;
    ; ;
    Barrientos-Alfaro, Alvaro Rafael
    In recent decades, the accelerated advance of digital technologies has profoundly transformed educational processes, promoting the expansion of virtual learning environments that transcend physical and temporal barriers.Objective: To determine the relationship between the role of artificial intelligence in the adaptation of students to virtual educational environments.Methodology: Quantitative and correlational, non-experimental design. Simple random sampling, with a sample of 376 university students who had studied at least one semester in virtual mode. Data collection was done through structured surveys with Likert-type scales, designed to evaluate the use of AI tools and the level of adaptation of the students.Results: AI in virtual educational environments showed a significant relationship with student adaptation, facilitating access to information and offering personalized learning experiences.Conclusions: AI enabled personalization of educational experiences, improving accessibility and making them more interactive. AI-powered learning assistants fostered active participation and greater understanding of content. The importance of avoiding over-reliance on AI tools and promoting interdisciplinary collaboration and real-time feedback to continuously improve educational environments was highlighted.
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