DIGITAL TWINS OF PROCESSES IN ACADEMIC INSTITUTIONS

Abstract

This article explores the transformative potential of digital twins (DT) in enhancing educational processes, scientific research, and resource management within academic settings. Digital twins, which are virtual replicas of physical systems or processes, offer innovative solutions for modeling educational environments, optimizing research projects, and managing infrastructure. The study delves into the historical evolution of DT technology, from early modeling concepts in the mid-20th century to contemporary applications in various sectors, including industry, healthcare, and smart cities. The author classifies digital twins based on their purpose, level of integration, and technological foundation, highlighting their flexibility and applicability across different domains. The article emphasizes the role of DT in personalizing learning experiences, simulating complex systems, and optimizing resource usage through real-time monitoring. Practical case studies demonstrate the implementation of DT in educational processes, such as optimizing student employment services and modeling social networks. The research also examines current software platforms for creating digital twins, focusing on business process modeling and agent-based simulation tools. Platforms like Bizagi Modeler, ARIS, and NetLogo are analyzed for their capabilities in simulating and optimizing processes. The findings underscore the significance of digital twins in improving educational outcomes, facilitating collaborative research, and enhancing the efficiency of academic operations. Challenges in implementing digital twins, such as the need for interdisciplinary approaches and standardization, are discussed, along with future directions for research. The article concludes that digital twins represent a promising avenue for transforming education and research, emphasizing their potential to drive innovation and competitiveness in the academic sector.